EffiGov: Skoor 40 (n=4, confidence 0.8)
What they built
EffiGov describes itself as "The AI OS for Cities" [source]. The first product is AI call operators that answer 311 and departmental lines 24/7, covering requests from permit applications to animal control [source]. YC lists the industry as Government, with tags Artificial Intelligence and GovTech [source].
Inference: The evidence file labels the sector "defense," but the product description is local-government services, not defense. The sector tag may be a misclassification.
Record
Measured signals (n=4, all from the YC directory):
GitHub:
Not in the evidence:
Inference: All four signals come from one source, the YC listing. The 0.8 confidence reflects data consistency, not independent confirmation of traction.
Why now
Not in the evidence.
Inference: The case would rest on voice AI becoming good enough to handle routine municipal calls. Nothing in the file tests that.
Unknowns
- Who the three team members are and whether they have technical depth. Not in the evidence.
- Whether any city is live, piloting or paying. Not in the evidence.
- How procurement works for their buyers, and how long sales cycles are. Not in the evidence.
- Why the record is tagged "defense." Not in the evidence.
Questions for the room
- On the 311 product: How many cities currently route live 311 or department calls to your operators, and what share of calls is resolved without a human? This tests the claim that the operators answer lines 24/7 [source].
- On the "AI OS" claim: What has been built beyond call handling, and what is the next module? The only product described is call operators [source].
- On hiring with a team of 3: Which roles are open, and what does each unlock? The YC directory shows hiring but no roles are listed [source].
What would move the Skoor
Raise:
Lower: